code: def export_and_load_model(experiment_id: int) -> None:
      # We run this in a subprocess to avoid module name collisions
      # when performing checkpoint export of different models.
      ctx = multiprocessing.get_context("spawn")
      p = ctx.Process(
          target=_export_and_load_model,
          args=(
              experiment_id,
              conf.make_master_url(),
          ),
      )
      p.start()
      p.join()
      assert p.exitcode == 0, p.exitcode
  
file_path: determined/e2e_tests/tests/experiment/test_tf_keras.py
imports: import multiprocessing
  from typing import Callable
  import pytest
  from determined import keras
  from determined.experimental import client
  from tests import config
  from tests import experiment
label_desc: Use image node_id 2 for calling a global function with example usage: export_and_load_model(experiment_id) without return types